|
Date: 11.09.2019
Fee: free
Venue: Humboldt Graduate School
Duration: about 3 hours
Objectives
Did you ever want to know how to avoid getting caught for plagiarism you never intended? The primary goal of this workshop is to give you a better understanding of what is considered plagiarism and what potential consequences are.
We take a close look at the plagiarism categories that VroniPlag Wiki (https://vroniplag.wikia.org/de/) uses to evaluate works and categorize instances as plagiarism. We also zoom in on VroniPlag Wiki’s system to calculate percentages of total (potential) plagiarism in a work and match this against a greyscale for analysis.
The objective is to help you understand the different ways that plagiarism is detected using different measurement tools, so that you can better identify the grey zones in your own work.
Content and Format
This workshop is interactive, including discussions and exercises. We will give you an overview to introduce you to the topic in the first part of the workshop.
The workshop covers the following topics:
-
Defining plagiarism
-
Consequences of plagiarism
-
Quantifying plagiarism - VroniPlag Wiki & HEADT Centre greyscale Model
-
Large group practice: evaluate texts together with the trainers (using VroniPlag Wiki’s system and the HEADT Centre greyscale)
-
Small group practice: evaluate text examples you provided (using VroniPlag Wiki’s system and the HEADT Centre greyscale)
-
Discussion on what forms of plagiarism you came across in your discipline
-
Large group discussion about how the exercise went
-
Q&A (participants can ask questions)
-
Self-Reflection: you will individually develop an action-plan of how you personally will avoid plagiarism in your future work
- Review
Preparation
Participants will be expected to do the following ahead of the workshop:
-
Bring an example of a text that is considered plagiarism or where there is a discussion going on whether the author(s) plagiarized. We will use those examples in the small group practice.
-
Read chapters 1 - Introduction and 2 - State of the Art in Seadle, M.S. (2017). Quantifying research integrity. San Rafael, California: Morgan & Claypool. The book is available via HU network (or VPN). Follow this link to access it.
Registration closed!
Information on the trainers
All three trainers are part of the HEADT Centre team. The HEADT Centre is the Humboldt-Elsevier Advanced Data and Text Centre. You can read more about the HEADT Centre and its objectives on our website: https://headt.eu/
Prof. Michael Seadle, PhD is a professor and senior researcher at the Berlin School of Library and Information Science at Humboldt-Universität zu Berlin. He is one of the Principal Investigators of the HEADT Centre and wrote the book Quantifying Research Integrity (published in San Rafael, California, by Morgan & Claypool, 2017). Michael Seadle is also the executive director of the iSchools Inc. (https://ischools.org/).
Dr. Thorsten Beck is a researcher at the HEADT Centre working on image manipulation. He manages the Image Integrity Database project that the HEADT Centre is currently building up. He did his doctorate on image manipulation and published his dissertation with the title Shaping Images - Scholarly Perspectives on Image Manipulation (published in Berlin by De Gruyter Saur, 2016).
Melanie Rügenhagen (M.A.) is the manager of the HEADT Centre and a doctoral candidate at the Berlin School of Library and Information Science at Humboldt-Universität zu Berlin. She is concerned with data integrity and specifically does research on the quality of qualitative research.